Computer Vision for Underwater Image Analysis (CVUIA)
Aquatic ecosystems are vital for climate regulation, biodiversity, and global biogeochemical cycles, yet many underwater regions remain poorly explored due to the technical complexity of long-term observation. Advances in sensing technologies, robotic platforms, and artificial intelligence now enable large-scale collection of underwater imagery, creating new opportunities for automated environmental monitoring and scientific discovery. However, reliable analysis remains challenging because of light attenuation, scattering, turbidity, non-uniform illumination, and limited positioning accuracy. Addressing these constraints requires interdisciplinary collaboration across computer vision, robotics, marine science, and environmental engineering to develop robust algorithms and imaging methods specifically designed for underwater environments.
This workshop Computer Vision for Underwater Image Analysis (CVUIA) invites contributions focused on computational approaches for underwater image understanding. Topics of interest include, but are not limited to :
Image restoration and enhancement in degraded environments
Detection, segmentation, and tracking of marine organisms
Visual navigation and mapping
Real-time processing for robot navigation
Multimodal, spectral and acoustic imaging techniques
Ecological monitoring and behavioral analysis
Data-efficient and physics-informed learning methods
Synthetic data generation and benchmarking
Digital twin of underwater ecosystems
Calibration of underwater cameras and sensing systems.
Aligned with ICIP 2026, it addresses core image processing challenges unique to underwater environments through a dedicated forum that bridges computer vision, robotics, ocean engineering, and environmental sciences. By emphasizing emerging directions such as physics-informed AI, multimodal sensing, synthetic data generation, and digital twins, the workshop promotes interdisciplinary collaboration, strengthens synergies across IEEE communities, and positions underwater image analysis as a strategic and rapidly evolving frontier within the broader image processing ecosystem.
Important Dates
Satellite Workshop paper submission due date: May 13, 2026
Satellite Workshop paper acceptance notification: June 10, 2026
Satellite Workshop camera-ready due date: July 1, 2026
Satellite Workshop author registration due date: July 16, 2026
Paper submission instructions:
Manuscripts submitted to satellite workshops will undergo a double-anonymous peer review and accepted papers will be included to the IEEE Xplore Digital Library as part of the ICIP 2026 Satellite Workshop Proceedings.
Submitted manuscripts must conform to the conference’s style, format, and length requirements. Unlike main track papers, the review process for workshop papers does not include a rebuttal period, due to the tight turnaround schedule. Papers may be up to 5 pages for technical content, including figures and references, and one optional 6th page containing only references. (see Author Kit for details).
Submission Link: https://icip2026.exordo.com
Select the Satellite Workshops track, and choose the appropriate workshop from the list of Topics.
Associate Professor, Institute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ Lisboa, Portgal.
Research Associate Professor, Dept. of Computational Intelligence, SRM Institute of Science and Technology, Chennai, India.
Associate Professor, University of Girona, Institute for Computer Vision and Robotics, Girona, Spain.
Inquiries
Send specific workshop inquiries via e-mail to workshop organizers.
Send general workshop inquiries via e-mail to workshops@2026.ieeeicip.org